Insurance Data Operations Associate Director - Hybrid

Internationalinsuranceprofessionals; Glasgow; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid work environment

Learning & development

Retirement planning

Job summary

Fitch Group, a global financial information provider, is seeking a Data Operations - Associate Director (Insurance) for our Glasgow office. The role focuses on centralising and quality-assuring fundamental data across Fitch Group, collaborating with Ratings and Solutions teams, and guiding data collection methodologies.

You will mentor staff, drive standardised data templates, and advance AI/ML-driven data workflows to deliver measurable business outcomes while maintaining high data quality and

Qualifications

• Experience handling Insurance financial data and IFRS/GAAP informed processes.
• Ability to lead teams and deliver data projects with stakeholders.
• Strong data quality assurance and data governance capabilities.
• Comfortable working in a fast-paced, global financial information environment.

Responsibilities

• Oversee collection of fundamental data across Fitch Group.
• Define collection methodologies to meet analyst and product needs.
• Lead data stewardship and documentation of standard terms.
• Provide training and support to offshore teams and data input analysts.
• Prepare and present monthly management reporting to stakeholders.

Skills

Data governance

Insurance data

Data quality

Leadership

Stakeholder management

Education

CIMA/ACCA/ACA/CFA preferred

Tools

Collibra

AI/ML tools

Job description

Fitch Group, a global financial information provider, is seeking a Data Operations - Associate Director (Insurance) for our Glasgow office. The role focuses on centralising and quality-assuring fundamental data across Fitch Group, collaborating with Ratings and Solutions teams, and guiding data collection methodologies.

You will mentor staff, drive standardised data templates, and advance AI/ML-driven data workflows to deliver measurable business outcomes while maintaining high data quality and